1 Referenzbereiche der Blutmarker nach Alter und Geschlecht

Als Übersicht zur Einordnung der Abweichungen

2 Verteilung der Abweichungen

  • vor- und während der Covid-Pandemie
  • für Fälle mit und ohne F2*-Diagnose

2.1 Haema

2.1.1 überlagert

2.1.1.1 HB

2.1.1.2 MCH

2.1.1.3 MCV

2.1.1.4 Kombiniert

2.1.2 ridgeline plot getrennt nach psychotischer Störung

2.1.2.1 HB

## Picking joint bandwidth of 0.18

2.1.2.2 MCH

## Picking joint bandwidth of 0.168

2.1.2.3 MCV

## Picking joint bandwidth of 0.149

2.1.2.4 Kombiniert

## Picking joint bandwidth of 0.147

2.1.3 ridgeline plot getrennt nach Pandemie

2.1.3.1 HB

## Picking joint bandwidth of 0.18

2.1.3.2 MCH

## Picking joint bandwidth of 0.168

2.1.3.3 MCV

## Picking joint bandwidth of 0.149

2.1.3.4 Kombiniert

## Picking joint bandwidth of 0.147

2.2 CRP

  • CRP-Abweichungswerte wurden für die Darstellung auf ein Maximum von 7 begrenzt

2.2.1 überlagert

2.2.2 ridgeline plot getrennt nach psychotischer Störung

## Picking joint bandwidth of 0.109

2.2.3 ridgeline plot getrennt nach Pandemie

## Picking joint bandwidth of 0.109

2.3 Leukozyten

2.3.1 überlagert

2.3.2 ridgeline plot getrennt nach psychotischer Störung

## Picking joint bandwidth of 0.215

2.3.3 ridgeline plot getrennt nach Pandemie

## Picking joint bandwidth of 0.215

2.4 % Lymphozyten

3 mittlere Abweichung der Gruppen (+ Anzahl Fälle in Gruppe)

3.1 HB

3.2 MCH

3.3 MCV

3.4 Haemo

3.5 CRP

3.6 Leukozyten

3.7 LYp

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

4 Anteil an Gesamtzahl der Fälle nach ‘psychotische Störung’, ‘Pandemie’, ‘Geschlecht’

5 Stichprobenmerkmale / -demographie

5.1 Altersverteilung der Gruppen

5.2 Tabellen

5.2.1 Stichprobenverteilung

Für nicht-normalverteilte Variablen (siehe Datenverfügbarkeit) wird nicht Mittelwert + Standardabweichung sondern Median + IQR (25% Perzentil - 75% Perzentil) ausgegeben.
Summary descriptives table by groups of `group’
dur_covid-f2_pres dur_covid-no_f2 pre_covid-f2_pres pre_covid-no_f2 p.overall p.dur_covid-f2_pres vs dur_covid-no_f2 p.dur_covid-f2_pres vs pre_covid-f2_pres p.dur_covid-f2_pres vs pre_covid-no_f2 p.dur_covid-no_f2 vs pre_covid-f2_pres p.dur_covid-no_f2 vs pre_covid-no_f2 p.pre_covid-f2_pres vs pre_covid-no_f2
N=34 N=907 N=55 N=1708
age_adm 16.0 [14.2;17.0] 15.0 [13.0;16.0] 17.0 [16.0;17.0] 15.0 [13.0;16.0] <0.001 0.002 0.032 0.002 <0.001 0.764 <0.001
sex: <0.001 0.011 0.011 0.108 <0.001 <0.001 <0.001
M 19 (55.9%) 296 (32.6%) 46 (83.6%) 695 (40.7%)
W 15 (44.1%) 611 (67.4%) 9 (16.4%) 1013 (59.3%)
lab_val_dev_ref_HB -0.22 [-0.47;0.32] -0.31 [-0.76;0.12] 0.28 [-0.11;0.51] -0.22 [-0.60;0.18] <0.001 0.277 0.011 0.846 <0.001 <0.001 <0.001
lab_val_dev_ref_MCH -0.35 [-0.82;-0.08] -0.23 [-0.63;0.14] -0.08 [-0.46;0.29] -0.32 [-0.66;-0.02] <0.001 0.286 0.025 0.773 0.038 <0.001 0.001
lab_val_dev_ref_MCV -0.44 [-0.73;-0.09] -0.24 [-0.64;0.08] -0.20 [-0.53;0.03] -0.36 [-0.71;-0.05] <0.001 0.293 0.249 0.811 0.803 <0.001 0.086
lab_val_dev_ref_haemo -0.35 [-0.65;0.10] -0.24 [-0.58;0.04] -0.02 [-0.31;0.23] -0.27 [-0.58;-0.01] <0.001 0.836 0.016 0.996 0.001 0.109 <0.001
lab_val_dev_ref_CRP 0.19 [0.10;0.51] 0.10 [0.06;0.30] 0.24 [0.08;0.70] 0.14 [0.06;0.40] 0.006 0.140 0.609 0.403 0.029 0.037 0.083
lab_val_dev_ref_LEU -0.27 [-0.52;0.50] -0.33 [-0.68;0.10] -0.04 [-0.45;0.43] -0.29 [-0.63;0.19] 0.001 0.310 0.371 0.456 0.004 0.025 0.018
lab_val_LYp . (.) . (.) 25.4 (7.73) 33.2 (9.49) 0.002 . . . . . 0.002

5.2.2 Datenverfügbarkeit

Available data by groups of `group’
[ALL] dur_covid-f2_pres dur_covid-no_f2 pre_covid-f2_pres pre_covid-no_f2 method select
age_adm 2704 34 907 55 1708 continuous-non-normal ALL
sex 2704 34 907 55 1708 categorical ALL
lab_val_dev_ref_HB 2704 34 907 55 1708 continuous-non-normal ALL
lab_val_dev_ref_MCH 2704 34 907 55 1708 continuous-non-normal ALL
lab_val_dev_ref_MCV 2704 34 907 55 1708 continuous-non-normal ALL
lab_val_dev_ref_haemo 2704 34 907 55 1708 continuous-non-normal ALL
lab_val_dev_ref_CRP 2026 24 441 53 1508 continuous-non-normal ALL
lab_val_dev_ref_LEU 2704 34 907 55 1708 continuous-non-normal ALL
lab_val_LYp 339 0 0 15 324 continuous-normal ALL

5.2.3 Fehlende Werte

Missingness table by groups of `group’
dur_covid-f2_pres dur_covid-no_f2 pre_covid-f2_pres pre_covid-no_f2 p.overall
N=34 N=907 N=55 N=1708
age_adm 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
sex 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_dev_ref_HB 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_dev_ref_MCH 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_dev_ref_MCV 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_dev_ref_haemo 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_dev_ref_CRP 10 (29.4%) 466 (51.4%) 2 (3.64%) 200 (11.7%) <0.001
lab_val_dev_ref_LEU 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%) .
lab_val_LYp 34 (100%) 907 (100%) 40 (72.7%) 1384 (81.0%) <0.001

6 stat. Test

6.1 Haema Marker

Tests: Anova (Typ III für unbalancierte Gruppen, FDR-korrigiert über die Haemo-Marker-Analysen)
Post-hoc: Tukey HSD (verhält sich bei ungleichen Gruppengrößen konservativ)

6.1.1 HB

## Modell:  lab_val_dev_ref_HB ~ psychosis * covid_pan 
## Anova Table (Type III tests)
## 
## Response: lab_val_dev_ref_HB
##                      Sum Sq   Df F value  Pr(>F) p_unadj
## (Intercept)            0.02    1  0.0510 0.82128 0.82128
## psychosis              5.87    1 12.9351 0.00263 0.00033
## covid_pan              4.16    1  9.1729 0.00793 0.00248
## psychosis:covid_pan    2.03    1  4.4646 0.05047 0.03470
## Residuals           1225.18 2700                        
## 
## ___________________________________________
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = dev_form, data = data_haemo)
## 
## $psychosis
##                    diff        lwr        upr    p adj
## no_f2-f2_pres -0.301651 -0.4440258 -0.1592761 3.36e-05
## 
## $covid_pan
##                           diff        lwr         upr p adj
## dur_covid-pre_covid -0.1399132 -0.1932397 -0.08658674 3e-07
## 
## $`psychosis:covid_pan`
##                                            diff        lwr         upr
## no_f2:pre_covid-f2_pres:pre_covid   -0.42690168 -0.6641257 -0.18967766
## f2_pres:dur_covid-f2_pres:pre_covid -0.44508775 -0.8228617 -0.06731383
## no_f2:dur_covid-f2_pres:pre_covid   -0.55601635 -0.7964860 -0.31554667
## f2_pres:dur_covid-no_f2:pre_covid   -0.01818607 -0.3181013  0.28172912
## no_f2:dur_covid-no_f2:pre_covid     -0.12911467 -0.2002599 -0.05796940
## no_f2:dur_covid-f2_pres:dur_covid   -0.11092860 -0.4134175  0.19156033
##                                         p adj
## no_f2:pre_covid-f2_pres:pre_covid   0.0000232
## f2_pres:dur_covid-f2_pres:pre_covid 0.0132295
## no_f2:dur_covid-f2_pres:pre_covid   0.0000000
## f2_pres:dur_covid-no_f2:pre_covid   0.9986516
## no_f2:dur_covid-no_f2:pre_covid     0.0000192
## no_f2:dur_covid-f2_pres:dur_covid   0.7817948

6.1.2 MCH

## Modell:  lab_val_dev_ref_MCH ~ psychosis * covid_pan 
## Anova Table (Type III tests)
## 
## Response: lab_val_dev_ref_MCH
##                      Sum Sq   Df F value   Pr(>F)  p_unadj
## (Intercept)            3.99    1 10.0463 0.007745 0.001544
## psychosis              1.43    1  3.6107 0.076685 0.057514
## covid_pan              2.14    1  5.3791 0.032726 0.020454
## psychosis:covid_pan    3.33    1  8.3727 0.010239 0.003840
## Residuals           1072.64 2700                          
## 
## ___________________________________________
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = dev_form, data = data_haemo)
## 
## $psychosis
##                     diff        lwr         upr     p adj
## no_f2-f2_pres -0.1837303 -0.3169478 -0.05051275 0.0068868
## 
## $covid_pan
##                           diff        lwr       upr     p adj
## dur_covid-pre_covid 0.07207961 0.02218298 0.1219762 0.0046515
## 
## $`psychosis:covid_pan`
##                                            diff         lwr         upr
## no_f2:pre_covid-f2_pres:pre_covid   -0.33537741 -0.55734359 -0.11341123
## f2_pres:dur_covid-f2_pres:pre_covid -0.31891403 -0.67239018  0.03456213
## no_f2:dur_covid-f2_pres:pre_covid   -0.24941735 -0.47442044 -0.02441427
## f2_pres:dur_covid-no_f2:pre_covid    0.01646338 -0.26416178  0.29708854
## no_f2:dur_covid-no_f2:pre_covid      0.08596006  0.01939073  0.15252939
## no_f2:dur_covid-f2_pres:dur_covid    0.06949667 -0.21353669  0.35253004
##                                         p adj
## no_f2:pre_covid-f2_pres:pre_covid   0.0006083
## f2_pres:dur_covid-f2_pres:pre_covid 0.0938940
## no_f2:dur_covid-f2_pres:pre_covid   0.0228682
## f2_pres:dur_covid-no_f2:pre_covid   0.9987781
## no_f2:dur_covid-no_f2:pre_covid     0.0050582
## no_f2:dur_covid-f2_pres:dur_covid   0.9220143

6.1.3 MCV

## Modell:  lab_val_dev_ref_MCV ~ psychosis * covid_pan 
## Anova Table (Type III tests)
## 
## Response: lab_val_dev_ref_MCV
##                     Sum Sq   Df F value  Pr(>F) p_unadj
## (Intercept)           7.73    1 22.2910 0.00004 0.00000
## psychosis             0.22    1  0.6201 0.45981 0.43107
## covid_pan             0.46    1  1.3249 0.28550 0.24981
## psychosis:covid_pan   1.21    1  3.4769 0.07672 0.06234
## Residuals           936.63 2700                        
## 
## ___________________________________________
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = dev_form, data = data_haemo)
## 
## $psychosis
##                     diff        lwr        upr    p adj
## no_f2-f2_pres -0.0836184 -0.2081034 0.04086664 0.187908
## 
## $covid_pan
##                           diff       lwr       upr     p adj
## dur_covid-pre_covid 0.08753677 0.0409109 0.1341627 0.0002366
## 
## $`psychosis:covid_pan`
##                                            diff        lwr        upr     p adj
## no_f2:pre_covid-f2_pres:pre_covid   -0.17338368 -0.3807999 0.03403251 0.1381216
## f2_pres:dur_covid-f2_pres:pre_covid -0.14790186 -0.4782075 0.18240377 0.6578123
## no_f2:dur_covid-f2_pres:pre_covid   -0.07748079 -0.2877348 0.13277323 0.7792524
## f2_pres:dur_covid-no_f2:pre_covid    0.02548182 -0.2367482 0.28771187 0.9945293
## no_f2:dur_covid-no_f2:pre_covid      0.09590288  0.0336972 0.15810856 0.0004406
## no_f2:dur_covid-f2_pres:dur_covid    0.07042106 -0.1940593 0.33490145 0.9030520

6.1.4 Kombiniert

## Modell:  lab_val_dev_ref_haemo ~ psychosis * covid_pan 
## Anova Table (Type III tests)
## 
## Response: lab_val_dev_ref_haemo
##                     Sum Sq   Df F value    Pr(>F)   p_unadj
## (Intercept)           2.70    1  9.6279 0.0077451 0.0019363
## psychosis             1.85    1  6.6057 0.0181659 0.0102183
## covid_pan             1.94    1  6.9192 0.0171524 0.0085762
## psychosis:covid_pan   2.10    1  7.4776 0.0143727 0.0062881
## Residuals           757.56 2700                            
## 
## ___________________________________________
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = dev_form, data = data_haemo)
## 
## $psychosis
##                     diff        lwr         upr     p adj
## no_f2-f2_pres -0.1896665 -0.3016212 -0.07771182 0.0009059
## 
## $covid_pan
##                            diff         lwr        upr     p adj
## dur_covid-pre_covid 0.006567716 -0.03536493 0.04850036 0.7587774
## 
## $`psychosis:covid_pan`
##                                             diff         lwr          upr
## no_f2:pre_covid-f2_pres:pre_covid   -0.311887590 -0.49842583 -0.125349347
## f2_pres:dur_covid-f2_pres:pre_covid -0.303967879 -0.60102584 -0.006909913
## no_f2:dur_covid-f2_pres:pre_covid   -0.294304833 -0.48339526 -0.105214403
## f2_pres:dur_covid-no_f2:pre_covid    0.007919711 -0.22791498  0.243754400
## no_f2:dur_covid-no_f2:pre_covid      0.017582756 -0.03836147  0.073526983
## no_f2:dur_covid-f2_pres:dur_covid    0.009663046 -0.22819547  0.247521566
##                                         p adj
## no_f2:pre_covid-f2_pres:pre_covid   0.0001050
## f2_pres:dur_covid-f2_pres:pre_covid 0.0425890
## no_f2:dur_covid-f2_pres:pre_covid   0.0003768
## f2_pres:dur_covid-no_f2:pre_covid   0.9997695
## no_f2:dur_covid-no_f2:pre_covid     0.8507452
## no_f2:dur_covid-f2_pres:dur_covid   0.9995925

6.2 CRP

Test: Mann-Whitney-U-Test (nichtparametrisch, Normalverteilung liegt nicht vor)

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  lab_val_dev_ref_CRP by covid_pan
## W = 682.5, p-value = 0.6127
## alternative hypothesis: true location shift is not equal to 0
## 
##  Welch Two Sample t-test
## 
## data:  lab_val_dev_ref_CRP by covid_pan
## t = 0.91954, df = 61.513, p-value = 0.3614
## alternative hypothesis: true difference in means between group pre_covid and group dur_covid is not equal to 0
## 95 percent confidence interval:
##  -0.3387867  0.9158249
## sample estimates:
## mean in group pre_covid mean in group dur_covid 
##               -1.334582               -1.623101

6.3 Leukozyten

Tests: Anova (Typ III für unbalancierte Gruppen)
Post-hoc: Tukey HSD (verhält sich bei ungleichen Gruppengrößen konservativ)

## Modell:  lab_val_dev_ref_LEU ~ psychosis * covid_pan
## Anova Table (Type III tests)
## 
## Response: lab_val_dev_ref_LEU
##                      Sum Sq   Df F value    Pr(>F)    
## (Intercept)            0.26    1  0.5692 0.4506240    
## psychosis              5.37    1 11.9644 0.0005507 ***
## covid_pan              0.11    1  0.2386 0.6252250    
## psychosis:covid_pan    0.00    1  0.0084 0.9270061    
## Residuals           1212.83 2700                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = leu_form, data = data_haemo)
## 
## $psychosis
##                     diff        lwr        upr     p adj
## no_f2-f2_pres -0.2568968 -0.3985524 -0.1152411 0.0003829
## 
## $covid_pan
##                            diff        lwr          upr     p adj
## dur_covid-pre_covid -0.05825326 -0.1113104 -0.005196123 0.0314167
## 
## $`psychosis:covid_pan`
##                                            diff        lwr         upr
## no_f2:pre_covid-f2_pres:pre_covid   -0.26413756 -0.5001633 -0.02811180
## f2_pres:dur_covid-f2_pres:pre_covid -0.07142831 -0.4472940  0.30443742
## no_f2:dur_covid-f2_pres:pre_covid   -0.32193401 -0.5611890 -0.08267898
## f2_pres:dur_covid-no_f2:pre_covid    0.19270925 -0.1056910  0.49110952
## no_f2:dur_covid-no_f2:pre_covid     -0.05779645 -0.1285824  0.01298946
## no_f2:dur_covid-f2_pres:dur_covid   -0.25050569 -0.5514667  0.05045532
##                                         p adj
## no_f2:pre_covid-f2_pres:pre_covid   0.0210888
## f2_pres:dur_covid-f2_pres:pre_covid 0.9616712
## no_f2:dur_covid-f2_pres:pre_covid   0.0030896
## f2_pres:dur_covid-no_f2:pre_covid   0.3451969
## no_f2:dur_covid-no_f2:pre_covid     0.1536675
## no_f2:dur_covid-f2_pres:dur_covid   0.1408859